A Multivariate Regression Approach Towards Prioritizing BIM Adoption Barriers in the Ethiopian Construction Industry

Shihunegn Alemayehu, Ali Nejat, Tewodros Ghebrab, S Ghosh

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Building information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier. Design/methodology/approach: To address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were empl
Original languageEnglish
JournalEngineering, Construction and Architectural Management
DOIs
StatePublished - May 18 2021

Fingerprint

Dive into the research topics of 'A Multivariate Regression Approach Towards Prioritizing BIM Adoption Barriers in the Ethiopian Construction Industry'. Together they form a unique fingerprint.

Cite this